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Wu, H. (2017). A new consumer-oriented paradigm: intelligent technology assisting user in consuming itself. PHILICA.COM Observation number 162.

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A new consumer-oriented paradigm: intelligent technology assisting user in consuming itself

Huang Wuunconfirmed user (Beijing Polytechnic University)

Published in anthro.philica.com

Intelligent environments are becoming more and more proactive, able to enhance ordinary activity, and to seamlessly take care of vulnerable people, for example predispose to fall risk, in such a way more and more embedded within the physical space [1].
Among the various kind of intelligent environments, for example, smart homes are expected to become a sort of human-companion piece of technology, cooperating with humans, able to act proactively, anticipating humans needs and preferences, involving various kind of sensors and actuators [2].
In this way, today smart homes are shading in other technologies having similar functions and designations, such as assistive technology, telemedicine, telehealth, gerontechnology [3].
What is emerging is the prototype of newly companion technology, exhibiting the ability to proactively anticipate needs and preferences, cooperating with its user in order to facilitate and enhance its own consumption. So it is emerging also a new consumer-oriented paradigm: a (technological) product which assists user in consuming itself.
Such new paradigm, involving technological innovation, is being pursued at a more general level, ranging from augmented sensing modalities [4] to advanced sensor processing techniques [5], deep processing [6] and high-performance (but cheap) computing [7].

Observation circumstances
Our ongoing research work on intelligent products and serivces.

[1] Weimar, U., Simpson, R., Barsan, N., Heine, T., Simmendinger, W., Malfatti, M., Margesin, B., Gonzo, L., Grassi, M., Lombardi, A., Malcovati, P., Leone, A., Diraco, G., Siciliano, P., Sicard, OV., Pohle, R., Fleischer, M., Redaelli, A., Giacosi, A., & Bonassi, C. (2009). Microsystem Technology for Ambient Assisted Living (AAL). Procedia Chemistry, 1(1), 710-713.
[2] Campo, E., Bonhomme, S., Chan, M., & Esteve, D. (2010, July). Remote tracking patients in retirement home using wireless multisensor system. In e-Health Networking Applications and Services (Healthcom), 2010 12th IEEE International Conference on (pp. 226-230). IEEE.
[3] Chan, M., Estève, D., Escriba, C., & Campo, E. (2008). A review of smart homes—Present state and future challenges. Computer methods and programs in biomedicine, 91(1), 55-81.
[4] Distante, C., Diraco, G., & Leone, A. (2010). Active range imaging dataset for indoor surveillance. Annals of the BMVA, London, 3, 1-16.
[5] Donoho, D. L. (2006). Compressed sensing. IEEE Transactions on information theory, 52(4), 1289-1306.
[6] LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
[7] Nickolls, J., & Dally, W. J. (2010). The GPU computing era. IEEE micro, 30(2).

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This Observation was published on 5th April, 2017 at 07:01:41 and has been viewed 1065 times.

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The full citation for this Observation is:
Wu, H. (2017). A new consumer-oriented paradigm: intelligent technology assisting user in consuming itself. PHILICA.COM Observation number 162.

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